Job Vacancies at KPMG South Africa

Function and Business Unit:  Central Services – Facilities

• The role is to create a welcoming environment for the organization, its clients, and guests manage our front desk daily and to perform a variety of administrative and clerical tasks.

Key responsibilities:

• Receiving visitors at the front desk by greeting, welcoming, directing and announcing them appropriately
• Receiving and sorting daily mail
• Ensure reception area is tidy and presentable, with all necessary stationery and material (e.g., pens, forms, and brochures)
• Provide basic and accurate information in-person and via phone/email
• Maintain office security by following safety procedures and controlling access via the reception desk (monitor logbook, issue visitor badges)
• Order front office supplies and keep inventory of stock
• Update calendars and schedule meetings
• Perform other clerical receptionist duties such as filing, photocopying, transcribing, and faxing

Skills and attributes required for the role:

Skills:

• Good communication skills
• Customer handling
• Friendly and Approachable
• Presentable
• Telephone etiquette and the ability to respond professionally to clients on the telephone
• Interpersonal skills
• Active listening

Personal attributes:

• Good attention to detail
• Positive attitude
• Professionalism and Confidentiality
• Flexibility to deal with diverse people
• Cooperative

Minimum requirements to apply for the role (including qualifications and experience):

• Grade 12
• 1 – 2 years’ experience in a reception role
• Computer Literacy
• Working knowledge of Microsoft Office

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Description of the role and purpose of the job:

• Providing and prioritising operational and administrative support to the firm’s leadership enabling them to focus on core business objectives

Key responsibilities:

• Understand and enable Firm Strategy
• Understand strategy at Firm, Function and Service line level
• Understand how role aligns with strategy and how execution of role enables strategy
• Understand the broader firm structure and service offering

Operational and Business Support

• Manage Business Unit leadership diaries and correspondence
• Manage Leadership travel arrangements in accordance with KPMG Policy
• Scheduling of meetings/ Booking / co-ordinating of functions / events / conferences
• Completing and submitting partner timesheets / expenses (Oracle)
• Providing general support to Business Leadership
• Assist with BU Administration
• Understand and contribute towards the financial management goals of the business

Quality and Risk Management & Compliance

• Comply with KPMG Risk Management and other Policies and Procedures
• Drive a relentless focus on quality and excellent service

Internal and External Stakeholder Management

• Understand internal and external stakeholders
• Deliver role requirements with a client centric approach

Communication

• Demonstrate high quality and timeous verbal and written communication

Internal and public trust

• Building internal and external trust

Personal Development

• Keep abreast with recent developments and best practice in respective field

Skills and attributes required for the role:

Skills:

• Matric
• Secretarial diploma or similar qualification would be an advantage
• Strong capability in MS Office (Word, PowerPoint, Excel and Outlook) and Oracle
• Communication and writing skills
• Analytical skills
• Fast and accurate typing
• Personal attributes:
• Extremely high level of confidentially and integrity
• Excellent client focus
• Able to use own initiative   
• Good time management ability
• Ability to function well in high pressure environment and high sense of urgency 
• Exceptional telephone manners
• Ability to multitask, proactive and efficient     
• Ability to work in a team
• Ability to meet deadlines   
• Strong communication, writing and interpersonal skills
• Attention to detail

Minimum requirements to apply for the role (including qualifications and experience):

• Matric
• Strong capability in MS Office (Word, PowerPoint, Excel and Outlook) and Oracle
• Communication and writing skills

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Role Purpose

• The Lead for Artificial Intelligence in Technology Risk will provide strategic and operational leadership for the development, adoption and commercialisation of AI capabilities across the Technology Risk practice.
• The role will be responsible for positioning Technology Risk at the forefront of Trusted AI, AI governance, advanced data analytics and technology-enabled assurance. The successful candidate will lead the development of innovative AI-enabled solutions, support the responsible adoption of AI across engagements, and build a scalable capability that improves client outcomes, delivery quality, efficiency and profitability.
• This leader will combine deep technical expertise with strong commercial judgement, client credibility and people leadership. The role will help address the strategic risk of insufficient AI adoption by embedding AI across Technology Risk competencies, strengthening the Technology Risk AI Centre of Excellence, and developing the skills, methodologies and assets required tcompete successfully in an evolving market.

Strategic Context

• Organisations are accelerating investment in artificial intelligence, advanced analytics and enterprise data transformation.
• This is creating increased demand for services relating tAI governance, assurance, security, data risk and responsible AI implementation.
• Within Technology Risk, there is an opportunity to:
• Build a differentiated Trusted AI and AI assurance offering.
• Embed AI and automation in the delivery of technology audit and advisory engagements.
• Improve engagement quality, consistency, turnaround time and profitability.
• Develop reusable AI methodologies, accelerators and intellectual property.
• Support clients in managing emerging AI, data and technology risks.
• Build scarce AI, analytics and technology audit skills within the practice.
• Strengthen market presence and originate new client opportunities.

Key Responsibilities

AI Strategy and Leadership

• Develop and execute the Technology Risk AI strategy, aligned with the broader business strategy and relevant firm-wide AI priorities.
• Translate the AI strategy into practical roadmap covering offerings, people, technology, governance, investment and market development.
• Lead the adoption of AI across Technology Risk competencies and service lines.
• Establish clear priorities and measurable outcomes for AI-enabled transformation.
• Advise Technology Risk leadership on emerging AI developments, risks, opportunities and investment requirements.
• Act as the senior AI subject-matter leader for the Technology Risk practice.
• Promote responsible, ethical and risk-aware adoption of AI in both internal and client-facing activities.

Trusted AI, Governance and Assurance

• Lead the development and delivery of Trusted AI, AI governance and AI assurance services.
• Support clients in assessing and strengthening the governance, risk management and control environments surrounding AI.
• Develop approaches for reviewing AI models, data, security, controls, accountability and responsible use.
• Lead complex engagements involving AI governance, data risk, technology assurance and emerging technology.
• Ensure that AI solutions and methodologies are aligned with relevant firm policies, professional obligations and quality requirements.
• Monitor developments in AI governance and emerging technology risk, translating these into practical client propositions.

AI-Enabled Technology Risk Delivery

• Identify high-value opportunities to embed AI and automation into technology risk, audit and advisory engagements.
• Drive the implementation of AI-enabled audit procedures and automation techniques.
• Reduce manual and repetitive activities through intelligent automation.

Develop AI-enabled solutions supporting areas such as:

• Automated testing
• Data analytics
• Continuous control monitoring
• Workpaper preparation
• Evidence analysis
• Risk identification
• Reporting and insight generation
• Improve the quality, consistency and speed of engagement delivery.
• Work with engagement leaders to incorporate AI into planning, execution and reporting while maintaining appropriate human oversight.
• Monitor the performance, adoption and value delivered by AI-enabled solutions.

Innovation and Solution Development

• Build a structured pipeline of AI and analytics use cases across Technology Risk.
• Lead the design, development, testing and implementation of AI-enabled solutions.
• Create reusable methodologies, templates, prompts, models, accelerators and automation assets.
• Establish appropriate processes for evaluating, prioritising and scaling AI use cases.
• Coordinate proof-of-concept and pilot initiatives before broader deployment.
• Promote innovation while ensuring appropriate governance, security, quality and risk management.
• Collaborate with relevant technical, innovation, data, cyber, audit and sector teams to develop integrated solutions.
• Convert successful internal innovations into client-facing propositions where appropriate.

Commercial Growth and Market Development

• Build and execute a go-to-market strategy for Trusted AI, AI governance, advanced analytics and AI-enabled assurance.
• Identify market opportunities and convert client needs into scalable service offerings.
• Originate new business and support partners and engagement leaders in developing AI-related opportunities.
• Lead or contribute to proposals, presentations, demonstrations and client workshops.
• Build trusted relationships with senior client stakeholders.
• Expand relationships across existing and prospective clients.
• Develop market-facing thought leadership, technical publications and points of view.
• Represent the practice at relevant industry forums, conferences and innovation events.
• Strengthen the practice’s market credibility in Trusted AI, data risk and emerging technology.

People and Capability Development

• Build and lead a high-performing, AI-enabled Technology Risk capability.
• Define the skills, roles and capacity required to deliver the AI strategy.
• Recruit, develop and retain professionals with relevant AI, data, analytics, audit and technology risk skills.
• Establish structured learning pathways for AI, automation, analytics and Trusted AI.
• Develop communities of practice that promote experimentation, knowledge sharing and reuse.
• Improve AI literacy across all levels of the Technology Risk practice, not only within specialist teams.

Performance and Value Realisation

• Define and maintain an AI value scorecard for Technology Risk.
• Track the adoption, utilisation and benefits of AI-enabled solutions.
• Measure improvements in efficiency, quality, turnaround time, colleague experience and engagement profitability.
• Monitor the commercial performance of AI and Trusted AI offerings.
• Report progress, risks, investment requirements and value delivered to Technology Risk leadership.
• Use performance data and engagement feedback to refine the AI strategy and roadmap.

Candidate Profile

Essential Experience

The successful candidate should demonstrate:

• Significant leadership experience in artificial intelligence, data analytics, technology risk, IT audit, digital transformation or a related discipline.
• Experience designing and implementing AI, machine-learning, advanced analytics or intelligent automation solutions.
• Strong knowledge of AI governance, responsible AI, data governance and emerging technology risk.
• Experience leading complex client engagements and multidisciplinary teams.
• A strong understanding of technology risk, controls, assurance and audit environments.
• Experience developing and commercialising technology-enabled professional services.
• Proven ability to translate technical concepts into practical business and risk outcomes.
• Experience working with senior executives and building trusted client relationships.

Preferred Experience

• Experience in a professional services, consulting or assurance environment.
• Experience in technology-enabled audit or risk transformation.
• Experience developing reusable technology assets and accelerators.
• Exposure to cloud-based data and AI platforms.
• Experience with model risk, AI assurance or responsible AI assessments.

Qualifications

Essential

• A relevant bachelor’s degree in one or more of the following:
• Computer science
• Data science
• Artificial intelligence
• Information systems
• Engineering

Technical Knowledge

• The successful candidate should possess strong knowledge across a meaningful combination of the following areas:
• Generative AI and large language models
• Machine learning and predictive modelling
• AI agents and intelligent automation
• AI governance and responsible AI
• Data governance and data quality
• Advanced data analytics
• Cloud data and AI platforms
• Data migration and transformation

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Description of the role and purpose of the job:

• We have an exciting opportunity to join our Financial Risk Management business unit, since we are looking to fill a Manager position in our Credit Risk & Capital Management team. We are a specialist function within KPMG’s Advisory Practice which has as its main purpose to assist clients with the development and review of often complex statistical models used to quantify financial risks. The Credit Risk & Capital management team is made up of credit risk modellers and analysts from a broad and diverse range of quantitative backgrounds, including mathematics, statistics, engineering and actuarial.
• As a Manager, you will not only have a technical specialist role in the auditing and the development of credit risk models (IFRS9, scorecards, etc.), but also assist the Senior Manger with responsibilities with regard to the planning, organization and quality control of projects. The role offers exposure to a wide range of modelling techniques used by banks ranging from smaller local credit providers to globally systemically important banks. It also provides access to the latest technologies and developments, and you will be able to hone your coding skills in packages like Python, R and SAS.

Key responsibilities:

• Development and review of credit risk model both for provisioning and regulatory capital requirement purposes
• Support with managing projects in the planning/budgeting, execution, and close-out phases.
• Assisting with the coding and automation of financial risk management models
• Participating in building a coaching culture aimed at getting the best out of others in an environment where everyone in the team feels empowered to speak up or challenge where appropriate.

Skills and attributes required for the role:

• Relevant experience within a quantitative credit risk-based role
• Well versed in contemporary statistical techniques and practices in credit risk modelling.
• Able to read, interpret and create software code, and relevant experience with modern computing languages related to credit risk modelling (e.g. SAS, Python, or R)
• Strong organisational and time management skills
• Proven track record of managing and delivering small workstreams
• Experience of managing teams, coaching and mentoring junior staff
• Able to work effectively in a fast-paced environment with conflicting priorities and deadlines.
• Good presentation and communication skills with ability to articulate quantitative concepts to both technical and non-technical individuals
• Participating in building a coaching culture aimed at getting the best out of others in an environment where everyone in the team feels empowered to speak up or challenge where appropriate.

Minimum requirements to apply for the role (including qualifications and experience):

• A Hons or Masters degree in a quantitative discipline such as Quantitative Finance, Mathematics, Statistics or equivalent, FRM advantageous
• At least 6 years of experience in credit risk

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Base location: 

• KPMG office in Johannesburg, however travel will need to be undertaken to other KPMG offices or clients as and when required.  

Description of the role and purpose of the job:

• KPMG South Africa is a multinational firm with an ambition to be the most trusted and trustworthy professional services firm in the world.
• The role will provide you with an opportunity to lead and deliver a range of technical accounting engagements, supporting clients in navigating complex accounting matters, assessing the impact of new and amended IFRS, GRAP or other financial reporting framework related requirements, and developing practical, fit for purpose accounting solutions.  In summary, you will be responsible for developing and implement practical solutions to a range of complex accounting, reporting, financial and regulatory challenges.
• You will work closely with senior finance stakeholders to translate technical accounting requirements into clear recommendations, policies and processes that support high quality financial reporting and effective implementation.
• In addition, the role will allow you to improve your business development skills as you will also be required to actively drive the identification of opportunities in the market and development of client-centric proposals within the CFO advisory/ Accounting Advisory space.

This position provides opportunity to assist clients with:

• Technical accounting and regulatory interpretation and implementation
• Audit readiness, assurance, and compliance assessments
• Financial and regulatory end-to-end reporting services
• Assessments, design, integration and implementation of financial and regulatory processes, controls, and functions
• Data quality and remediation
• Digital offerings for financial, regulatory, and non-financial reporting, development of innovative digital solutions and offerings across the financial management function
• At KPMG, providing clients with the best possible solution to the challenges which they face is paramount, thus the role will enable you to collaborate with a wide variety of staff members (e.g. data, technology specialists) from various KPMG business units.
• This collaborative approach in everything that we do helps to distinguish us in the market place.

Key responsibilities:

Accounting Advisory

• Lead the delivery of technical accounting engagements, including assessing the impact of new and amended IFRS/GRAP accounting standards and supporting clients through implementation and adoption;
• Advise clients on the interpretation and application of complex IFRS/GRAP requirements, including translating technical accounting conclusions into practical accounting policies, processes, reporting requirements and controls;
• Lead IFRS/GRAP (and other relevant financial reporting framework) implementation projects, including IFRS 18, from initial impact assessment and gap analysis through to solution design, implementation planning and embedding the requirements within the finance function;
• Support clients in assessing the implications of new accounting standards across financial reporting, chart of accounts, management reporting, systems, data, processes and controls, and develop practical recommendations to address identified gaps;
• Develop high-quality technical accounting deliverables, including accounting papers, technical memos, accounting policies, implementation roadmaps and supporting client guidance;
• Actively identify business development opportunities and lead the development of proposals and solutions addressing clients’ technical accounting and IFRS/GRAP implementation requirements;
• Support Partners and Associate Directors in growing the Accounting Advisory practice through client engagement, thought leadership, market initiatives and development of innovative IFRS/GRAP solutions;
• Develop and coach junior team members, providing technical guidance and actively supporting the transfer of IFRS/GRAP and technical accounting knowledge;
• Maintain a strong focus on quality, professional standards and KPMG’s internal risk management requirements in the execution of all engagements;
• Lead discussions with clients on emerging accounting developments and the future of financial reporting, including the practical implications of new and evolving IFRS/GRAP Accounting Standards;
• Perform other technical accounting and advisory activities as required.
• Capital Markets Advisory
• IPO support – Financial reporting assistance for offer documents including KPI’s and non GAAP measures;
• Project management support through the listing process;
• Investor relations management; and
• Assistance in post-listing compliance in financial reporting

Skills and attributes required for the role:

• High level of drive and resilience;
• High level of attention to detail and a desire to drive quality;
• Strong organisation skills; a self-starter with initiative, ability to foster innovation and a common-sense approach to problem solving;
• Ability to multi-task and reprioritise tasks as and when required;
•  Ability to work under pressure and meet deadlines;
• Excellent business writing skills, numerical skills, communication and interpretation skills;
• The ability to build collaborative relationships with good interpersonal skills and the ability to relate well to colleagues with differing levels of expertise and skills while championing inclusion and diversity;
• Ability to identify and close sales opportunities;
• Ability to manage high performing teams and provide coaching to enable junior staff members to grow in their role;
• An ability to apply, understand and implement IFRS requirements for a client;
• Excellent ability to compile PowerPoint decks and able to present with confidence and passion;
• Passionate about how technology enables the finance function of the future; and
• The ability to adapt to a changing work environment and accommodate changing client demands.

Minimum requirements to apply for the role:

• Minimum of 8 years’ experience working on technical accounting matters/projects or within a technical accounting capacity within a finance environment;
• Financial qualification CA(SA); and
• Passionate about working on technical accounting related projects / initiatives, finance projects and providing practical solutions to finance functions and their leadership.